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2016

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Articles 2221 - 2250 of 2698

Full-Text Articles in Computer Sciences

Towards An Infodemiological Algorithm For Classification Of Filipino Health Tweets, Ma. Regina Justina E. Estuar, Kennedy E. Espina, Delfin Jay Sabido Ix, Raymond Josef Edward Lara, Vikki Car De Los Reyes Jan 2016

Towards An Infodemiological Algorithm For Classification Of Filipino Health Tweets, Ma. Regina Justina E. Estuar, Kennedy E. Espina, Delfin Jay Sabido Ix, Raymond Josef Edward Lara, Vikki Car De Los Reyes

Department of Information Systems & Computer Science Faculty Publications

Finding innovative ICT solutions to enhance the Philippines’ health sector is part and parcel of the Philippine eHealth Strategic Framework and Plan 2020 program. This study sees the opportunity of using collected Twitter data to create a model that processes tweets to produce a dataset that may be relevant in the field of epidemiology and infodemiology. Through the collection of relevant tweets, future studies may make use of the output of this research for various purposes, such as the improvement of epidemiological systems of the Department of Health in support of the eHealth strategy. In this study, we …

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K-D Tree-Segmented Block Truncation Coding For Image Compression, Proceso L. Fernandez Jr, Ryan Rey M. Daga Jan 2016

K-D Tree-Segmented Block Truncation Coding For Image Compression, Proceso L. Fernandez Jr, Ryan Rey M. Daga

Department of Information Systems & Computer Science Faculty Publications

Block truncation coding (BTC) is a class of image compression algorithms whose main technique is the partitioning of an image into pixel blocks that are then each encoded using a representative set of pixel values. It is commonly used because of its simplicity and low computational complexity. The Quadtree-segmented BTC (QTS-BTC), which utilizes a dynamic hierarchical segmentation technique, is among the most efficient in the BTC class. In this study, we propose a new BTC variant that introduces two ideas: (1) the use of a k-d tree for segmentation and (2) the use of a Mean Squared Error (MSE) threshold …

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Improving The Vector Auto Regression Technique For Time-Series Link Prediction By Using Support Vector Machine, Proceso L. Fernandez Jr, Jan Miles Co Jan 2016

Improving The Vector Auto Regression Technique For Time-Series Link Prediction By Using Support Vector Machine, Proceso L. Fernandez Jr, Jan Miles Co

Department of Information Systems & Computer Science Faculty Publications

Predicting links between the nodes of a graph has become an important Data Mining task because of its direct applications to biology, social networking, communication surveillance, and other domains. Recent literature in time-series link prediction has shown that the Vector Auto Regression (VAR) technique is one of the most accurate for this problem. In this study, we apply Support Vector Machine (SVM) to improve the VAR technique that uses an unweighted adjacency matrix along with 5 matrices: Common Neighbor (CN), Adamic-Adar (AA), Jaccard’s Coefficient (JC), Preferential Attachment (PA), and Research Allocation Index (RA). A DBLP dataset covering the years from …

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An Analysis Of The Technological, Organizational, And Environmental Factors Influencing Cloud Adoption, Joe Malak Jan 2016

An Analysis Of The Technological, Organizational, And Environmental Factors Influencing Cloud Adoption, Joe Malak

Walden Dissertations and Doctoral Studies

Cloud computing provides an answer to the increasing costs of managing information technology (IT), and has become a model that aligns IT services with an organization's business strategies. However, concerns and uncertainties associated with cloud computing are deterring IT decision makers from making sound decisions regarding the adoption of the technology. The purpose of this online survey study was to examine the relationship between relative advantage, compatibility, organizational size, top management support, organizational readiness, mimetic pressure, normative pressures, coercive pressure, and the IT decision makers' intent to adopt cloud computing. The theoretical framework incorporated the diffusion of innovations theory, a …

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Fostering An Environment Of Magnet Recognition By Using Internet Technology, Shyneka Montgomery Jan 2016

Fostering An Environment Of Magnet Recognition By Using Internet Technology, Shyneka Montgomery

Walden Dissertations and Doctoral Studies

Magnet Recognition, a nurse-driven certification, is an acknowledgement of nursing excellence within a hospital. Magnetic Recognition supports the highest quality of patient outcomes and is the standard for nursing care and professionalism in nursing practice. The site for this project has engaged in the process of seeking Magnet Recognition but lacked a method of communicating their progress to staff, prompting the need for the institutional intranet Magnet webpage. Guided by Roger's diffusion of innovation theory and Lewin's change management model, the purpose of this quality improvement project was to develop an evaluation plan for this webpage on the institutional intranet. …

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Role Of Outsourcing In Stress And Job Satisfaction Of Information Technology Professionals, Janell Renee Robinson Jan 2016

Role Of Outsourcing In Stress And Job Satisfaction Of Information Technology Professionals, Janell Renee Robinson

Walden Dissertations and Doctoral Studies

Information technology (IT) outsourcing poses a potential job loss threat to IT professionals, which can decrease job security, job satisfaction, and organizational commitment. The problem that this study addressed was the perceived role of IT outsourcing in the job stress, job dissatisfaction, and turnover intention of IT professionals. The purpose of this study was to explore how job-related stress, job dissatisfaction, and turnover intention within the IT profession are influenced by outsourcing as perceived by IT workers themselves. Phenomenology was the methodology used, and the person-environment fit theory formed the theoretical framework for this study. The research questions addressed outsourcing …

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Establishing Mobile Financial Services In Ethiopia, James R. Kanagwa Jan 2016

Establishing Mobile Financial Services In Ethiopia, James R. Kanagwa

Walden Dissertations and Doctoral Studies

Mobile phone service is increasing among low income populations; however, with over 1 billion mobile service users worldwide, many people still lack banking services. Banks do not reach out to the poor because of the high operational costs involved. Scholars and industry practitioners have indicated that mobile phones could be an alternative channel for delivering financial services to the less advantaged and unbanked, without requiring a traditional bank with a branch network. The purpose of this bounded case study was to explore the strategies bank managers used to implement the new mobile banking service to the Ethiopian community. The new …

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Strategies To Obtain Maximum Usage Of Enterprise Resource Planning Systems, Edward James Schaffer Jan 2016

Strategies To Obtain Maximum Usage Of Enterprise Resource Planning Systems, Edward James Schaffer

Walden Dissertations and Doctoral Studies

Business organizations invest significant resources implementing enterprise resource planning (ERP) systems, yet some organizations utilize less than 75% of the ERP system capabilities. The purpose of this single-site case study was to explore ERP utilization strategies implemented by 4 managers in the information technology (IT) department from 1 organization that uses an ERP system in the Midwest region of the United States. The conceptual framework that grounded this study was the user participation theory. Data were collected through participant interviews and analyzed using traditional text analysis. Member checking was used to strengthen the credibility and trustworthiness of the interpretation of …

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Health Care Leaders' Experiences Of Electronic Medical Record Adoption And Use, Joseph B. Weagraff Jan 2016

Health Care Leaders' Experiences Of Electronic Medical Record Adoption And Use, Joseph B. Weagraff

Walden Dissertations and Doctoral Studies

Adoption of electronic medical record (EMR) technology systems of meaningful use has been slow despite the mandate by the U.S. government. The purpose of this single case study was to explore strategies used by health care leaders to implement EMR technology systems of meaningful use to take advantage of federal incentive payments. Diffusion of innovation theory provided the conceptual framework for the study. Semistructured interviews were conducted with 6 health care leaders from a military installation in the Southeast United States. Data were analyzed using software, coding, and inductive analyses. The 3 prominent themes were patient, provider, and champion. Alerts …

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Empirical Examination Of User Acceptance Of Enterprise Resource Planning Systems In The United States, Rohan Oldacre Jan 2016

Empirical Examination Of User Acceptance Of Enterprise Resource Planning Systems In The United States, Rohan Oldacre

Walden Dissertations and Doctoral Studies

Enterprise resource planning (ERP) systems are complex software packages that support an integrated real-time setting among the various business functions in an entire organization. ERP systems improve productivity, but only to the extent that employees accept and use the systems extensively to perform their duties. The leaders of many organizations have not been able to realize the expected benefits because of a lack of user acceptance. The purpose of this quantitative cross-sectional survey study was to examine the factors that influence user acceptance of ERP systems in the United States. Davis's technology acceptance model was the theoretical foundation used to …

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Evaluating Federal Information Technology Program Success Based On Earned Value Management, Mae Moy Jan 2016

Evaluating Federal Information Technology Program Success Based On Earned Value Management, Mae Moy

Walden Dissertations and Doctoral Studies

Despite the use of earned value management (EVM) techniques to track development progress, federal information (IT) software programs continue to fail by not meeting identified business requirements. The purpose of this logistic regression study was to examine, using IT software data from federal agencies from 2011 to 2014, whether a relationship between schedule variance (SV), cost variance (CV), and actual cost (AC) could predict the success of IT software program, as operationalized by meeting the identified business requirements. The population of interest was 132 IT software programs developed between 2011 and 2014 for federal agencies. The sample source was an …

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Epistemic Skills Deficiency In The Project Management Body Of Knowledge, Alex Hosch Jan 2016

Epistemic Skills Deficiency In The Project Management Body Of Knowledge, Alex Hosch

Walden Dissertations and Doctoral Studies

Information Technology (IT) projects continue to fail despite being managed by certified Project Management Professionals (PMP) and professionally trained non-certified Project Managers (PM). This study addressed PMPs and qualified PMs who continue to experience IT project failure at a high rate. The purpose of this qualitative multiple case study was to explore perspectives of PMs and their understanding of project management best practices in the Guide to the Project Management Body of Knowledge (PMBOK). There were 5 research questions focused on IT project failures, lessons learned, trends, deficiencies in project management framework, and adherence to standard PM practices. This study …

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Identifying Parameters For Robust Network Growth Using Attachment Kernels: A Case Study On Directed And Undirected Networks, Ahmed F. Abdelzaher Jan 2016

Identifying Parameters For Robust Network Growth Using Attachment Kernels: A Case Study On Directed And Undirected Networks, Ahmed F. Abdelzaher

Theses and Dissertations

Network growing mechanisms are used to construct random networks that have structural behaviors similar to existing networks such as genetic networks, in efforts of understanding the evolution of complex topologies. Popular mechanisms, such as preferential attachment, are capable of preserving network features such as the degree distribution. However, little is known about such randomly grown structures regarding robustness to disturbances (e.g., edge deletions). Moreover, preferential attachment does not target optimizing the network's functionality, such as information flow. Here, we consider a network to be optimal if it's natural functionality is relatively high in addition to possessing some degree of robustness …

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The Subject Librarian Newsletter, Engineering And Computer Science, Fall 2016, Buenaventura "Ven" Basco Jan 2016

The Subject Librarian Newsletter, Engineering And Computer Science, Fall 2016, Buenaventura "Ven" Basco

Libraries' Newsletters

No abstract provided.

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Evaluating And Improving The Efficiency Of Software And Algorithms For Sequence Data Analysis, Hugh L. Eaves Jan 2016

Evaluating And Improving The Efficiency Of Software And Algorithms For Sequence Data Analysis, Hugh L. Eaves

Theses and Dissertations

With the ever-growing size of sequence data sets, data processing and analysis are an increasingly large portion of the time and money spent on nucleic acid sequencing projects. Correspondingly, the performance of the software and algorithms used to perform that analysis has a direct effect on the time and expense involved. Although the analytical methods are widely varied, certain types of software and algorithms are applicable to a number of areas. Targeting improvements to these common elements has the potential for wide reaching rewards. This dissertation research consisted of several projects to characterize and improve upon the efficiency of several …

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Measures Of User Interactions, Conversations, And Attacks In A Crowdsourced Platform Offering Emotional Support., Samir Yelne Jan 2016

Measures Of User Interactions, Conversations, And Attacks In A Crowdsourced Platform Offering Emotional Support., Samir Yelne

Browse all Theses and Dissertations

Online social systems have emerged as a popular medium for people in society to communicate with each other. Among the most important reasons why people communicate is to share emotional problems, but most online social systems are uncomfortable or unsafe spaces for this purpose. This has led to the rise of online emotional support systems, where users needing to speak to someone can anonymously connect to a crowd of trained listeners for a one-on-one conversation. To better understand who, how and when users utilize these systems, and to evaluate their safety, this thesis offers a comprehensive examination of the characteristics …

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Software Defined Secure Ad Hoc Wireless Networks, Maha Alqallaf Jan 2016

Software Defined Secure Ad Hoc Wireless Networks, Maha Alqallaf

Browse all Theses and Dissertations

Software defined networking (SDN), a new networking paradigm that separates the network data plane from the control plane, has been considered as a flexible, layered, modular, and efficient approach to managing and controlling networks ranging from wired, infrastructure-based wireless (e.g., cellular wireless networks, WiFi, wireless mesh net- works), to infrastructure-less wireless networks (e.g. mobile ad-hoc networks, vehicular ad-hoc networks) as well as to offering new types of services and to evolving the Internet architecture. Most work has focused on the SDN application in traditional and wired and/or infrastructure based networks. Wireless networks have become increasingly more heterogeneous. Secure and collab- …

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Knowledge-Empowered Probabilistic Graphical Models For Physical-Cyber-Social Systems, Pramod Anantharam Jan 2016

Knowledge-Empowered Probabilistic Graphical Models For Physical-Cyber-Social Systems, Pramod Anantharam

Browse all Theses and Dissertations

There is a rapid intertwining of sensors and mobile devices into the fabric of our lives. This has resulted in unprecedented growth in the number of observations from the physical and social worlds reported in the cyber world. Sensing and computational components embedded in the physical world constitute a Cyber-Physical System (CPS). Current science of CPS is yet to effectively integrate citizen observations in CPS analysis. We demonstrate the role of citizen observations in CPS and propose a novel approach to perform a holistic analysis of machine and citizen sensor observations. Specifically, we demonstrate the complementary, corroborative, and timely aspects …

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Resqu: A Framework For Automatic Evaluation Of Knowledge-Driven Automatic Summarization, Nishita Jaykumar Jan 2016

Resqu: A Framework For Automatic Evaluation Of Knowledge-Driven Automatic Summarization, Nishita Jaykumar

Browse all Theses and Dissertations

Automatic generation of summaries that capture the salient aspects of a search resultset (i.e., automatic summarization) has become an important task in biomedical research. Automatic summarization offers an avenue for overcoming the information overload problem prevalent in large online digital libraries. However, across many of the knowledge-driven approaches for automatic summarization it is not always clear which features highly impact or influence the quality of a summary. Instead, there has been considerable focus on utilizing schema knowledge to facilitate browsing and exploration of generated summaries a posteriori. Informative features should not be ignored, since they could be utilized to help …

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Towards Best Practices For Crowdsourcing Ontology Alignment Benchmarks, Reihaneh Amini Jan 2016

Towards Best Practices For Crowdsourcing Ontology Alignment Benchmarks, Reihaneh Amini

Browse all Theses and Dissertations

Ontology alignment systems establish the semantic links between ontologies that enable knowledge from various sources and domains to be used by automated applications in many different ways. Unfortunately, these systems are not perfect. Currently, the results of even the best-performing automated alignment systems need to be manually verified in order to be fully trusted. Ontology alignment researchers have turned to crowdsourcing platforms such as Amazon's Mechanical Turk to accomplish this. However, there has been little systematic analysis of the accuracy of crowdsourcing for alignment verification and the establishment of best practices. In this work, we analyze the impact of the …

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Knowledge-Driven Implicit Information Extraction, Pathirage Dinindu Perera Jan 2016

Knowledge-Driven Implicit Information Extraction, Pathirage Dinindu Perera

Browse all Theses and Dissertations

Natural language is a powerful tool developed by humans over hundreds of thousands of years. The extensive usage, flexibility of the language, creativity of the human beings, and social, cultural, and economic changes that have taken place in daily life have added new constructs, styles, and features to the language. One such feature of the language is its ability to express ideas, opinions, and facts in an implicit manner. This is a feature that is used extensively in day to day communications in situations such as: 1) expressing sarcasm, 2) when trying to recall forgotten things, 3) when required to …

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Identifying Tweets With Implicit Entity Mentions, Adarsh Koruthu Alex Jan 2016

Identifying Tweets With Implicit Entity Mentions, Adarsh Koruthu Alex

Browse all Theses and Dissertations

Social networking sites like Twitter and Facebook have become a significant source of user-generated content in the past decade. Mining of this user-generated content has proved beneficial for a broad range of applications like Event Extraction, Document Retrieval, and Sentiment Analysis. Identifying entities is one of the major tasks that fuel important information for above tasks. Identification of entities is typically performed in two steps; Named Entity Recognition (NER) and Entity Linking. State of the art NER solutions focus on recognizing the entities that are mentioned explicitly in social media posts. However, entities are frequently mentioned implicitly in them. For …

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Communication Patterns And Strategies In Software Development Communities Of Practice, Shreya Kumar Jan 2016

Communication Patterns And Strategies In Software Development Communities Of Practice, Shreya Kumar

Dissertations, Master's Theses and Master's Reports

Some of the greatest challenges in the relatively new field of software development lie in the decidedly old technology of communication between humans. Software projects require sophisticated and varied communication skills because software developers work in a world of incomplete, imperfect information where teams evolve rapidly in response to evolving requirements and changing collaborators. While prescriptive models for software process such as Agile suggest ways of doing, in reality these codified practices must adapt to the complexities of a real workplace. Patterns, rather than rules of behavior within software process are more suitable to the varied and mutable nature of …

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How Can We Have A Better Public Transportation System? –An Exploratory Agent Based Model, Boyu Liu Jan 2016

How Can We Have A Better Public Transportation System? –An Exploratory Agent Based Model, Boyu Liu

Pomona Senior Theses

Public transportation plays an integral part in a city's development, but transportation professionals disagree about whether it is feasible to increase the capacity of public transportation systems at a reasonable cost; and if it is, how. This study develops an agent based model that aims to answer this question and provide a framework to compare the effects of improvements in different aspects of the public transportation service. The results of this study show that it is possible to increase ridership enough to compensate for the increased operational cost, but only in certain circumstances. Interesting phenomenon that might have showed up …

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A Hierarchical Framework For Phylogenetic And Ancestral Genome Reconstruction On Whole Genome Data, Lingxi Zhou Jan 2016

A Hierarchical Framework For Phylogenetic And Ancestral Genome Reconstruction On Whole Genome Data, Lingxi Zhou

Theses and Dissertations

Gene order gets evolved under events such as rearrangements, duplications, and losses, which can change both the order and content along the genome, through the long history of genome evolution. Recently, the accumulation of genomic sequences provides researchers with the chance to handle long-standing problems about the phylogenies, or evolutionary histories, of sets of species, and ancestral genomic content and orders. Over the past few years, such problems have been proven so interesting that a large number of algorithms have been proposed in the attempt to resolve them, following different standards. The work presented in this dissertation focuses on algorithms …

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Automated Refactoring Of Legacy Java Software To Enumerated Types, Raffi Khatchadourian Jan 2016

Automated Refactoring Of Legacy Java Software To Enumerated Types, Raffi Khatchadourian

Publications and Research

Modern Java languages introduce several new features that offer significant improvements over older Java technology. In this article we consider the new enum construct, which provides language support for enumerated types. Prior to recent Java languages, programmers needed to employ various patterns (e.g., the weak enum pattern) to compensate for the absence of enumerated types in Java. Unfortunately, these compensation patterns lack several highly-desirable properties of the enum construct, most notably, type safety. We present a novel fully-automated approach for transforming legacy Java code to use the new enumeration construct. This semantics-preserving approach increases type safety, produces code that is …

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Gpu-Accelerated Feature Tracking, Alex Graves Jan 2016

Gpu-Accelerated Feature Tracking, Alex Graves

Browse all Theses and Dissertations

The motivation of this research is to prove that GPUs can provide significant speedup of long-executing image processing algorithms by way of parallelization and massive data throughput. This thesis accelerates the well-known KLT feature tracking algorithm using OpenCL and an NVidia GeForce GTX 780 GPU. KLT is a fast, efficient and accurate feature tracker but can easily suffer from low frame rates when tracking many features in an HD video sequence. This research explains how KLT could benefit from GPGPU programming and provides the corresponding OpenCL implementation. Additionally, various optimization techniques are emphasized to further boost GPU performance. The experiments …

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Framework For Semantic Integration And Scalable Processing Of City Traffic Events, Surendra Brahma Marupudi Jan 2016

Framework For Semantic Integration And Scalable Processing Of City Traffic Events, Surendra Brahma Marupudi

Browse all Theses and Dissertations

Intelligent traffic management requires analysis of a large volume of multimodal data from diverse domains. For the development of intelligent traffic applications, we need to address diversity in observations from physical sensors which give weather, traffic flow, parking information; we also need to do the same with social media, which provides live commentary of various events in a city. The extraction of relevant events and the semantic integration of numeric values from sensors, unstructured text from Twitter, and semi- structured data from city authorities is a challenging physical-cyber-social data integration problem. In order to address the challenge of both scalability …

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Learning Hierarchically Decomposable Concepts With Active Over-Labeling, Yuji Mo, Stephen Scott, Doug Downey Jan 2016

Learning Hierarchically Decomposable Concepts With Active Over-Labeling, Yuji Mo, Stephen Scott, Doug Downey

School of Computing: Conference and Workshop Papers

Many classification tasks target high-level concepts that can be decomposed into a hierarchy of finer-grained subconcepts. For example, some string entities that are Locations are also Attractions, some Attractions are Museums, etc. Such hierarchies are common in named entity recognition (NER), document classification, and biological sequence analysis. We present a new approach for learning hierarchically decomposable concepts. The approach learns a high-level classifier (e.g., location vs. non-location) by seperately learning multiple finer-grained classifiers (e.g., museum vs. non-museum), and then combining the results. Soliciting labels at a finer level of granularity than that of the target concept is a new approach …

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Exploring Leader-Initiated Change Management For Adopting Cloud Services, Nancy Marie Landreville Jan 2016

Exploring Leader-Initiated Change Management For Adopting Cloud Services, Nancy Marie Landreville

Walden Dissertations and Doctoral Studies

Cloud technology requires a virtualized ubiquitous and scalable environment with shared resources. The general problem in cloud adoption is the absence of standardization across organizations. A standardized approach remained elusive since the inception of the Cloud First mandate. The purpose of this study was to explore leader-initiated change management (LICM) practices in cloud adoption within organizations. The theoretical framework included the classical theories of Kurt Lewin's organization change management, leader-member exchange, intentional change, and appreciative inquiry. A multiple case study design approach facilitated the exploration of LICM-value added practices to identify standardization in cloud adoption practices. Data collection included semistructured …

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